The document discusses seven trends in data storage and networking for 2020. It predicts that NVMe will be widely adopted for performance-intensive workloads. It also notes that networking is taking on more aspects of storage, such as caching data. Growing data from IoT and AI is increasing demand for cost-effective long-term storage solutions like tape archives. Cloud strategies are also shifting to be more proactive in optimizing costs.
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Seven data storage & networking trends in 2020
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Seven data storage & networking trends in 2020
By Kathleen Sullivan, Linda Dellett 2 days ago
Here are seven top data storage and networking trends from the some of the industry’s leading thought
leaders.
The turn of a year – or in this case, the turn of a decade – encourages trend forecasts for every imaginable industry.
Data storage and networking are no exceptions. Development is moving fast, and tipping points have already tipped: the cloud, next-
gen networks, Internet of Things (IoT), innovative le systems, NVMe SSD. These technologies are active today in enterprise data
centers and in the public clouds that serve them.
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2020 data storage trends are about capitalising on evolving technologies and what best serves sophisticated data storage
professionals and cloud architects.
And on the networking side, expect more technology leaps as lines start to blur between storage and networking in 2020. Here are 7
top data storage and networking trends from the some of the industry’s leading thought leaders.
Preparing your network for digital transformation
Organisations will broadly adopt NVMe for performance-starved le storage.
NVMe is a high performance/low latency interface for all- ash arrays (AFA). Adoption spans data-intensive industries like life sciences,
nancial services, and media & entertainment; any organisation that requires intensive compute for enterprise-level workloads.
NVMe SSD is often linked with databases. But one of its fastest-growing areas is enterprise le data environments, where NVME-
enabled AFAs enable exceptional read and write performance – if the le system is engineered to take advantage of NVMe speed and
low latency. Legacy le systems are not. Innovative le systems that e ciently communicate with storage, network tra c, and
metadata can use NVMe and all- ash for unparalleled performance.
Molly Presley, Head of Product Marketing at Qumulo, said, “Leaders in the crowded ash eld will be the ones who deliver the best
value to their customers – not just for databases, but for les. NVMe provides great performance and nancial bene ts on enterprise
ash arrays. Companies that develop all- ash products and integrated NVMe will be the ones enterprise customers turn to.”
Networking gets into the storage act.
Networking performance, availability, and security have always been critical to the health of networked storage. Today, innovations in
the network and its interconnects support massive data movement between applications and storage in 5G, IoT, and the cloud.
Security, multi-cloud automation, and software-driven network connectivity are all trending in the data network space. And linear
data movement between data centres is giving way to centrally managed, multiple data centres in the network path. The network
may even be storage.
Murad Kablan, CEO and Co-founder of Stateless, remarked, “The next exciting step is network as storage. Today, networks only store
data in transit and are unaware of the contents of the information they’re storing. Networks will become content-aware, so operators
can cache information and ful l user data requests without accessing data from storage sources.”
The role of the network in digital transformation
IoT and AI Generate Demand for Active Archives.
The IoT market already has billions of installed devices. As 5G mobile networks proliferate and IoT vendors add more business
security features, deployment is expanding in both corporate and consumer levels. In addition to this deluge of IoT data, arti cial
intelligence (AI) provides analytics to derive more value from data in a continuous cycle of data ingest, analytics, and inference.
This combination will profoundly impact data storage and the way users manage and access it. Longer-term retention will be the
norm, not only for compliance but also for value. Since data will remain actively accessible to users and analytics, cost-e ective and
e cient active archives will cost-e ectively support analytics and accessibility on massively growing datasets.
The Active Archive Alliance report, “Active Archive and the State of the Industry,” stated, “Archival data is piling up faster than ever as
organisations are quickly learning the value of analysing vast amounts of previously untapped digital data. The need to securely store,
search for, retrieve, and analyse massive volumes of archival content is fuelling new and more e ective advancements in archive
solutions.”
Rapidly expanding data demands persistent storage.
According to IDC Global Data Sphere, fast-growing data is fuelling the current demand for multi-zettabyte persistent storage.
Big data growth drivers include IoT, AI/machine learning (ML), 4K and 8K HD video, surveillance, gaming and other applications. Much
of this data requires cost-e ective, long-term tape storage for controllable costs, data security and fast archive access.
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Rich Gadomski, Vice President of Marketing, Fuji lm Recording Media U.S.A., noted, “AI tools will provide the analytics power to derive
value from all of the big data generated by countless IoT devices. As a result, the combination of IoT data and AI will have a profound
impact on the need for storage. Organisations will want to maintain access to data sets for longer periods of time to support a
continuous cycle of data ingest, analytics, and inference. A dramatic increase in cost-e ective and e cient storage capacity in the
form of active archives will be demanded to support this model.”
Fast and furious tape advancements future-proof tape-based systems.
To meet this growing data deluge, tape manufacturers and partners are actively innovating tape to cost-e ectively store massive
datasets as active archives. For example, the LTO roadmap extends from current LTO-8 out to LTO-12, new high-performance
enterprise tape drives are on the enterprise scene, and high-density tape with barium ferrite magnetic particles are on the market.
Tape developers are also adding software-driven innovation with intelligent data management layers, improved fault tolerance and
le access times, and support for critical applications.
The Tape Storage Council’s report, “Tape Takes Aim on Unprecedented Data Growth,” stated, “Today’s storage technology hierarchy
consists of three technologies – SSDs, HDDs, and tape, and the ideal storage implementation optimises the strengths of each.
However, the role tape serves in today’s modern data centres is quickly expanding into new markets because compelling
technological advancements have made tape the most economical, highest capacity, and the most reliable and secure storage
medium available.”
Best cloud storage in 2020
Proactive cloud strategies.
Many companies initially moved to the cloud with one or two speci c use cases, such as inexpensive cloud storage or applications like
Salesforce and O ce 365. However, cloud expenses grow exponentially as customers add more processing and data. And it’s a
challenge to e ectively manage cloud-based storage, compute and data movement for performance and cost-savings.
Many companies are looking to optimise cloud-based processing and data storage and to lower their expenses. Achieving these goals
takes strategic expertise and planning, and companies are looking for consultants and MSPs to help them transform their cloud
ecosystem.
“A simple ‘lift and shift’ to the cloud isn’t enough,” said Dwayne Natwick, Product Manager, Cloud and Infrastructure Services at
Secure-24. “To truly realise the bene ts of a cloud ecosystem, organisations must take a transformative approach. Companies will
increasingly work with service providers to implement a strategic roadmap for their current and ongoing cloud strategies.”
Database innovation will be linked to hardware improvements.
Over many years, storage and database providers have hyped the notion of “commodity hardware.” The idea was that applications
built on commodity servers cost less to buy and scale, and avoid vendor lock-in.
Commodity hardware proved popular with customers. But today, sophisticated hardware choices matter more than ever. Today’s
most advanced databases are leveraging hardware innovation in the cloud to bring on next-level price and performance.
For example, operational database Oracle Exadata X8M, Amazon AQUA processing layer, and Yellowbrick Data are purpose-built on
custom hardware. There is no hardware vendor lock-in because the equipment is in cloud data centres, where admins work closely
with customers to choose and optimise their exible hardware choices.
Je Spicer, CMO of Yellowbrick Data, said, “This architectural thinking allows a company to choose precisely the best element of the
tech stack for them, allowing innovators to capture market share quicker than before. This best-of strategy expands to include an
organisation’s top choices among service, infrastructure, and application providers. Customers can use large public clouds and VM
networks, but not be limited to them. They can choose what’s best for them.”
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